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load index</title> <meta name="description" content="Search results for: pollution load index"> <meta name="keywords" content="pollution load index"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="pollution load index"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 7738</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: pollution load index</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7738</span> Assessment of the Soils Pollution Level of the Open Mine and Tailing Dump of Surrounding Territories of Akhtala Ore Processing Combine by Heavy Metals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20A.%20Ghazaryan">K. A. Ghazaryan</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20H.%20Derdzyan"> T. H. Derdzyan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For assessment of the soils pollution level of the open mine and tailing dump of surrounding territories of Akhtala ore processing combine by heavy metals in 2013 collected soil samples and analyzed for different heavy metals, such as Cu, Zn, Pb, Ni and Cd. The main soil type in the study sites was the mountain cambisol. To classify soil pollution level contamination indices like Contamination factors (Cf), Degree of contamination (Cd), Pollution load index (PLI) and Geoaccumulation index (I-geo) are calculated. The distribution pattern of trace metals in the soil profile according to I geo, Cf and Cd values shows that the soil is very polluted. And also the PLI values for the 19 sites were >1, which indicates deterioration of site quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=soils%20pollution" title="soils pollution">soils pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metal" title=" heavy metal"> heavy metal</a>, <a href="https://publications.waset.org/abstracts/search?q=geoaccumulation%20index" title=" geoaccumulation index"> geoaccumulation index</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20load%20index" title=" pollution load index"> pollution load index</a>, <a href="https://publications.waset.org/abstracts/search?q=contamination%20factor" title=" contamination factor"> contamination factor</a> </p> <a href="https://publications.waset.org/abstracts/13828/assessment-of-the-soils-pollution-level-of-the-open-mine-and-tailing-dump-of-surrounding-territories-of-akhtala-ore-processing-combine-by-heavy-metals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13828.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">434</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7737</span> Heavy Metal Contamination of a Dumpsite Environment as Assessed with Pollution Indices</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Olubunmi%20S.%20Shittu">Olubunmi S. Shittu</a>, <a href="https://publications.waset.org/abstracts/search?q=Olufemi%20J.%20Ayodele"> Olufemi J. Ayodele</a>, <a href="https://publications.waset.org/abstracts/search?q=Augustus%20O.%20A.%20Ilori"> Augustus O. A. Ilori</a>, <a href="https://publications.waset.org/abstracts/search?q=Abidemi%20O.%20Filani"> Abidemi O. Filani</a>, <a href="https://publications.waset.org/abstracts/search?q=Adetola%20T.%20Afuye"> Adetola T. Afuye</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indiscriminate refuse dumping in and around Ado-Ekiti combined with improper management of few available dumpsites, such as Ilokun dumpsite, posed the threat of heavy metals pollution in the surrounding soils and underground water that needs assessment using pollution indices. Surface soils (0-15 cm) were taken from the centre of Ilokun dumpsite (0 m) and environs at different directions and distances during the dry and wet seasons, as well as a background sample at 1000 m away, adjacent to the dumpsite at Ilokun, Ado-Ekiti, Nigeria. The concentration of heavy metals used to calculate the pollution indices for the soils were determined using Atomic Adsorption Spectrophotometer. The soils recorded high concentrations of all the heavy metals above the background concentrations irrespective of the season with highest concentrations at the 0 m except Ni and Fe at 50 m during the dry and wet season, respectively. The heavy metals concentration were in the order of Ni > Mn > Pb > Cr > Cu > Cd > Fe during the dry season, and Fe > Cr > Cu > Pb > Ni > Cd > Mn during the wet season. Using the Contamination Factor (CF), the soils were classified to be moderately contaminated with Cd and Fe to very high contamination with other metals during the dry season and low Cd contamination (0.87), moderate contamination with Fe, Pb, Mn and Ni and very high contamination with Cr and Cu during the wet season. At both seasons, the Pollution Load Index (PLI) indicates the soils to be generally polluted with heavy metals and the Geoaccumulation Index (I<em><sub>geo</sub></em>) calculated shown the soils to be in unpolluted to moderately polluted levels. Enrichment Factor (EF) implied the soils to be deficiently enriched with all the heavy metals except Cr (7.90) and Cu (6.42) that were at significantly enrichment levels during the wet season. Modified Degree of Contamination (mC<sub>d</sub>) recorded, indicated the soils to be of very high to extremely high degree of contamination during the dry season and moderate degree of contamination during the wet season except 0 m with high degree of contamination. The concentration of heavy metals in the soils combined with some of the pollution indices indicated the soils in and around the Ilokun Dumpsite are being polluted with heavy metals from anthropogenic sources constituted by the indiscriminate refuse dumping. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contamination%20factor" title="contamination factor">contamination factor</a>, <a href="https://publications.waset.org/abstracts/search?q=enrichment%20factor" title=" enrichment factor"> enrichment factor</a>, <a href="https://publications.waset.org/abstracts/search?q=geoaccumulation%20index" title=" geoaccumulation index"> geoaccumulation index</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20degree%20of%20contamination" title=" modified degree of contamination"> modified degree of contamination</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20load%20index" title=" pollution load index"> pollution load index</a> </p> <a href="https://publications.waset.org/abstracts/73809/heavy-metal-contamination-of-a-dumpsite-environment-as-assessed-with-pollution-indices" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73809.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">394</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7736</span> The Evaluation of Heavy Metal Pollution Degree in the Soils Around the Zangezur Copper and Molybdenum Combine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20A.%20Ghazaryan">K. A. Ghazaryan</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20A.%20Gevorgyan"> G. A. Gevorgyan</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20S.%20Movsesyan"> H. S. Movsesyan</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20P.%20Ghazaryan"> N. P. Ghazaryan</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Grigoryan"> K. V. Grigoryan </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The heavy metal pollution degree in the soils around the Zangezur copper and molybdenum combine in Syunik Marz, Armenia was aessessed. The results of the study showed that heavy metal pollution degree in the soils mainly decreased with increasing distance from the open mine and the ore enrichment combine which indicated that the open mine and the ore enrichment combine were the main sources of heavy metal pollution. The only exception was observed in the northern part of the open mine where pollution degree in the sites (along the open mine) situated 600 meters far from the mine was higher than that in the sites located 300 meters far from the mine. This can be explained by the characteristics of relief and air currents as well as the weak vegetation cover of these sites and the characteristics of soil structure. According to geo-accumulation index (I-geo), contamination factor (Cf), contamination degree (Cd) and pollution load index (PLI) values, the pollution degree in the soils around the open mine and the ore enrichment combine was higher than that in the soils around the tailing dumps which was due to the proper and accurate operation of the Artsvanik tailing damp and the recultivation of the Voghji tailing dump. The high Cu and Mo pollution of the soils was conditioned by the character of industrial activities, the moving direction of air currents as well as the physicochemical peculiarities of the soils. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armenia" title="Armenia">Armenia</a>, <a href="https://publications.waset.org/abstracts/search?q=Zangezur%20copper%20and%20molybdenum%20combine" title=" Zangezur copper and molybdenum combine"> Zangezur copper and molybdenum combine</a>, <a href="https://publications.waset.org/abstracts/search?q=soil" title=" soil"> soil</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metal%20pollution%20degree" title=" heavy metal pollution degree"> heavy metal pollution degree</a> </p> <a href="https://publications.waset.org/abstracts/25256/the-evaluation-of-heavy-metal-pollution-degree-in-the-soils-around-the-zangezur-copper-and-molybdenum-combine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25256.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7735</span> Spatial Variability of Soil Pollution and Health Risks Due to Long-Term Wastewater Irrigation in Egypt</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Eladham%20Fadl%20M.%20E.%20Fadl">Mohamed Eladham Fadl M. E. Fadl</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Egypt, wastewater has been used for irrigation in areas with fresh water scarcity. However, continuous applications may cause potential risks. Thus, the current study aims at screening the impacts of long-term wastewater irrigation on soil pollution and human health due to the exposure of heavy metals. Soils of nine sites in Al-Qalyubiyah Governorate, Egypt were sampled and analyzed for different properties. Wastewater resulted in a build-up of metals in soils. The pollution index (PI) showed the order of Cd > Pb > Ni > Zn. The integrated pollution index of Nemerow’s (IPIN) exceeded the safe limit of 0.7. The enrichment factor (EF) surpassed 1.0 value proving anthropogenic effects. The geo-accumulation index (Igeo) indicated that Pb, Ni, and Zn-induced none to moderate pollution, while high threats were associated with Cd. The calculated hazard index proved a potential health risk for humans, particularly children. It is recommended to perform a treatment to the wastewater used in irrigation to avoid such threats. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pollution" title="pollution">pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20risks" title=" health risks"> health risks</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=effluent" title=" effluent"> effluent</a>, <a href="https://publications.waset.org/abstracts/search?q=irrigation" title=" irrigation"> irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS%20techniques" title=" GIS techniques"> GIS techniques</a> </p> <a href="https://publications.waset.org/abstracts/56750/spatial-variability-of-soil-pollution-and-health-risks-due-to-long-term-wastewater-irrigation-in-egypt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56750.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">338</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7734</span> Heavy Metal Contamination in Sediments of North East Coast of Tamilnadu by EDXRF Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=R.%20Ravisankar">R. Ravisankar</a>, <a href="https://publications.waset.org/abstracts/search?q=Tholkappian%20A.%20Chandrasekaran"> Tholkappian A. Chandrasekaran</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Raghu"> Y. Raghu</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20K.%20Satapathy"> K. K. Satapathy</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20V.%20R.%20Prasad"> M. V. R. Prasad</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Kanagasabapathy"> K. V. Kanagasabapathy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The coastal areas of Tamilnadu are assuming greater importance owing to increasing human population, urbanization and accelerated industrial activities. sIn the present study, sediment samples are collected along the east coast of Tamilnadu for assessment of heavy metal pollution. The concentration of 13 selected heavy metals such as Mg, Al, Si, K, Ca, Ti, Fe, V, Cr, Mn, Co, Ni and Zn determined by Energy dispersive X-ray fluorescence (EDXRF) technique. In order to describe the pollution status, Contamination factor and pollution load index are calculated and reported. This result suggests that sources of metal contamination were mainly attributed to natural inputs from surrounding environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sediments" title="sediments">sediments</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=EDXRF" title=" EDXRF"> EDXRF</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20contamination%20factors" title=" pollution contamination factors"> pollution contamination factors</a> </p> <a href="https://publications.waset.org/abstracts/24170/heavy-metal-contamination-in-sediments-of-north-east-coast-of-tamilnadu-by-edxrf-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24170.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">340</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7733</span> Trees for Air Pollution Tolerance to Develop Green Belts as an Ecological Mitigation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahma%20Al%20Maawali">Rahma Al Maawali</a>, <a href="https://publications.waset.org/abstracts/search?q=Hameed%20Sulaiman"> Hameed Sulaiman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air pollution both from point and non-point sources is difficult to control once released in to the atmosphere. There is no engineering method known available to ameliorate the dispersed pollutants. The only suitable approach is the ecological method of constructing green belts in and around the pollution sources. Air pollution in Muscat, Oman is a serious concern due to ever increasing vehicles on roads. Identifying the air pollution tolerance levels of species is important for implementing pollution control strategies in the urban areas of Muscat. Hence, in the present study, Air Pollution Tolerance Index (APTI) for ten avenue tree species was evaluated by analyzing four bio-chemical parameters, plus their Anticipated Performance Index (API) in field conditions. Based on the two indices, <em>Ficus benghalensis</em> was the most suitable one with the highest performance score. <em>Conocarpus erectuse, Phoenix dactylifera</em>, and <em>Pithcellobium dulce </em>were found to be good performers and are recommended for extensive planting. <em>Azadirachta indica</em> which is preferred for its dense canopy is qualified in the moderate category. The rest of the tree species expressed lower API score of less than 51, hence cannot be considered as suitable species for pollution mitigation plantation projects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution%20tolerance%20index%20%28APTI%29" title="air pollution tolerance index (APTI)">air pollution tolerance index (APTI)</a>, <a href="https://publications.waset.org/abstracts/search?q=avenue%20tree%20species" title=" avenue tree species"> avenue tree species</a>, <a href="https://publications.waset.org/abstracts/search?q=bio-chemical%20parameters" title=" bio-chemical parameters"> bio-chemical parameters</a>, <a href="https://publications.waset.org/abstracts/search?q=muscat" title=" muscat"> muscat</a> </p> <a href="https://publications.waset.org/abstracts/56371/trees-for-air-pollution-tolerance-to-develop-green-belts-as-an-ecological-mitigation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56371.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">284</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7732</span> Assessment of Trace Metals Contamination in Surficial and Core Sediments from Ghannouch- Gabes Coastline, Impact of Phosphogypsum Discharge, Southeastern of Tunisia, Mediterranean Sea: Geochemical and Mineralogical Approaches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rim%20Ben%20Amor">Rim Ben Amor</a>, <a href="https://publications.waset.org/abstracts/search?q=Myriam%20Abidi"> Myriam Abidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Moncef%20Gueddari"> Moncef Gueddari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of the present study is to assess the level and the distribution of CaO, SO3, Cd, Cu, Pb and Zn incore sediments of Ghannouch-Gabes coast, Gulf of Gabes, Tunisian Mediterranean coast. The XRD analyses indicate that the sediments of Ghannouch-Gabes coast are mainly composed of quartz, calcite, gypsum and fluorine reflecting the impact of the phosphate fertilizer industrial waste. The vertical distribution of surface sediments shows for all the elements analyzed, that the area located between the commercial and the fishing port of Gabes, is the most polluted zone, where the two harbors acted as barriers and limited the dispersion of phosphogypsum discharge. The abundance order of metals was found to be Zn > Cd > Cu >Pb and that the highest levels of heavy metals were found in the uppermost segment of the sediment core compared to lower depth subsurface due to a continuous input of PG release and showed that the area between the two harbor suffered from several types of pollutants compared to reference core C1, collected from non-industrialized area. The level of pollution was evaluated using contamination factor (Cf), pollution load index (PLI) and the geoaccumulation index (Igeo). The obtained results of Igeo allowed us to distinguish that the area between the commercial harbor of Ghannouch and the fishing harbor of Gabes is the most polluted where sediments are strongly contaminated for Pb, Cu and Cd. The pollution load index (PLI) of all sediments collected classified them as "polluted". According to contamination factor (Cf), the sediments can be considered as ‘considerable’ to ‘very high’ contaminated for Pb, ‘very high to moderate’ for Cd, ‘ moderate’ for Zn, between ‘moderate’ and ‘considerable’ for Cu. Statistical analyses show that heavy metals, fluoride, calcium and sulphate are resulting from the same anthropogenic origin. The metallic pollution status of sediments of Ghanouch -Gabes coast is worrying and requires a serious intervention. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trace%20metals" title="trace metals">trace metals</a>, <a href="https://publications.waset.org/abstracts/search?q=phosphogypsum" title=" phosphogypsum"> phosphogypsum</a>, <a href="https://publications.waset.org/abstracts/search?q=core%20sediments" title=" core sediments"> core sediments</a>, <a href="https://publications.waset.org/abstracts/search?q=accumulation%20factor" title=" accumulation factor"> accumulation factor</a>, <a href="https://publications.waset.org/abstracts/search?q=contamination%20factor" title=" contamination factor"> contamination factor</a> </p> <a href="https://publications.waset.org/abstracts/73427/assessment-of-trace-metals-contamination-in-surficial-and-core-sediments-from-ghannouch-gabes-coastline-impact-of-phosphogypsum-discharge-southeastern-of-tunisia-mediterranean-sea-geochemical-and-mineralogical-approaches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73427.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7731</span> Spatial Distribution, Characteristics, and Pollution Risk Assessment of Microplastics in Sediments from Karnaphuli River Estuary, Bangladesh</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20Refat%20Jahan%20Rakiba">Md. Refat Jahan Rakiba</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Belal%20Hossaina"> M. Belal Hossaina</a>, <a href="https://publications.waset.org/abstracts/search?q=Rakesh%20Kumarc"> Rakesh Kumarc</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Akram%20Ullaha"> Md. Akram Ullaha</a>, <a href="https://publications.waset.org/abstracts/search?q=Sultan%20Al%20Nahiand"> Sultan Al Nahiand</a>, <a href="https://publications.waset.org/abstracts/search?q=Nazmun%20Naher%20Rimaa"> Nazmun Naher Rimaa</a>, <a href="https://publications.waset.org/abstracts/search?q=Tasrina%20Rabia%20Choudhury"> Tasrina Rabia Choudhury</a>, <a href="https://publications.waset.org/abstracts/search?q=Samia%20Islam%20Libaf"> Samia Islam Libaf</a>, <a href="https://publications.waset.org/abstracts/search?q=Jimmy%20Yub"> Jimmy Yub</a>, <a href="https://publications.waset.org/abstracts/search?q=Mayeen%20Uddin%20Khandakerg"> Mayeen Uddin Khandakerg</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdelmoneim%20Suliemanh"> Abdelmoneim Suliemanh</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Mahmoud%20Sayedi"> Mohamed Mahmoud Sayedi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microplastics (MPs) have become an emerging global pollutant due to their wide spread and dispersion and potential threats to marine ecosystems. However, studies on MPs of estuarine and coastal ecosystems of Bangladesh are very limited or not available. In this study, we conducted the first study on the abundance, distribution, characteristics and potential risk assessment of microplastics in the sediment of Karnaphuli River estuary, Bangladesh. Microplastic particles were extracted from sediments of 30 stations along the estuary by density separation, and then enumerated and characterize by using steromicroscope and Fourier Transform Infrared (FT-IR) spectroscopy. In the collected sediment, the number of MPs varied from 22.29 - 59.5 items kg−1 of dry weight (DW) with an average of 1177 particles kg−1 DW. The mean abundance was higher in the downstream and left bank of estuary where the predominant shape, colour, and size of MPs were films (35%), white (19%), and >5000 μm (19%), respectively. The main polymer types were polyethylene terephthalate, polystyrene, polyethylene, cellulose, and nylon. MPs were found to pose risks (low to high) in the sediment of the estuary, with the highest risk occuring at one station near a sewage outlet, according to the results of risk analyses using the pollution risk index (PRI), polymer risk index (H), contamination factors (CFs), and pollution load index (PLI). The single value index, PLI clearly demonastated that all sampling sites were considerably polluted (as PLI >1) with microplastics. H values showed toxic polymers even in lower proportions possess higher polymeric hazard scores and vice versa. This investigation uncovered new insights on the status of MPs in the sediments of Karnaphuli River estuary, laying the groundwork for future research and control of microplastic pollution and management. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microplastics" title="microplastics">microplastics</a>, <a href="https://publications.waset.org/abstracts/search?q=polymers" title=" polymers"> polymers</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20risk%20assessment" title=" pollution risk assessment"> pollution risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=Karnaphuli%20esttuary" title=" Karnaphuli esttuary"> Karnaphuli esttuary</a> </p> <a href="https://publications.waset.org/abstracts/178036/spatial-distribution-characteristics-and-pollution-risk-assessment-of-microplastics-in-sediments-from-karnaphuli-river-estuary-bangladesh" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178036.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">81</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7730</span> Heavy Metal Contamination and Its Ecological Risks in the Beach Sediments along the Atlantic Ocean</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Armel%20Zacharie%20Ekoa%20Bessa">Armel Zacharie Ekoa Bessa</a>, <a href="https://publications.waset.org/abstracts/search?q=Annick%20Kwewouo%20Janpou"> Annick Kwewouo Janpou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sediments collected along the beaches of the Atlantic Ocean in Africa were analyzed by geochemical proxies such as the ICP-MS technique to determine their heavy metal contamination and related ecological risks. Several metals were selected and show a decreasing trend: Fe > Mn > Ni > Cu > Co > Zn > Cr > Cd. Several pollution indices have been calculated, including the enrichment factor (EF), whose values are generally higher than 1. 5; the geo-accumulation index (I-geo), with values of some elements (Co, Ni and Cu) in the sediments of the study area being higher than 0, and other metals (Zn, Cr, Fe and Mn) being lower than 0; the contamination factor (CF), where the values of all the selected elements are between 1 and 3; and the pollution load index (PLI), where the values in almost all the study sites are higher than 1. These results show moderate contamination of the investigated sediments with heavy metals. The potential ecological risk assessment (Eri and RI) suggests that this part of the African coast is a low to a slight risk area. Statistical analyses indicate that heavy metals have shown fairly similar trends with anthropogenic and natural sources. This study shows that this coastal area is not highly concentrated in heavy metals and reveals that the Atlantic coast of Africa would be moderately polluted by the metals studied, with a low to moderate ecological risk. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title="heavy metals">heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=atlantic%20ocean" title=" atlantic ocean"> atlantic ocean</a>, <a href="https://publications.waset.org/abstracts/search?q=sediments" title=" sediments"> sediments</a> </p> <a href="https://publications.waset.org/abstracts/165141/heavy-metal-contamination-and-its-ecological-risks-in-the-beach-sediments-along-the-atlantic-ocean" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165141.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">83</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7729</span> Pollution-Sources, Controls, and Impact Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aditi%20Acharya">Aditi Acharya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Environmental pollution is threatening the environmental and human health in the most drastic way. This paper provides insight about the affects of environmental pollution in the perspective of water pollution. Sewage in drinking water, the increasing contamination of water bodies and water resources and the human beings are the major contributors, increasing the harsh activities of pollution. The research presents information about the sources of pollution, its impacts and control activities to be undertaken to make our environment free from water pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environmental%20pollution" title="environmental pollution">environmental pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20pollution" title=" water pollution"> water pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=nanotechnology" title=" nanotechnology"> nanotechnology</a>, <a href="https://publications.waset.org/abstracts/search?q=nanomaterials" title=" nanomaterials"> nanomaterials</a> </p> <a href="https://publications.waset.org/abstracts/27061/pollution-sources-controls-and-impact-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27061.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">363</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7728</span> Harmonic Pollution Caused by Non-Linear Load: Analysis and Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.%20Khlifi">K. Khlifi</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Haddouk"> A. Haddouk</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Hlaili"> M. Hlaili</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Mechergui"> H. Mechergui </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present paper provides a detailed analysis of prior methods and approaches for non-linear load identification in residential buildings. The main goal of this analysis is to decipher the distorted signals and to estimate the harmonics influence on power systems. We have performed an analytical study of non-linear loads behavior in the residential environment. Simulations have been performed in order to evaluate the distorted rate of the current and follow his behavior. To complete this work, an instrumental platform has been realized to carry out practical tests on single-phase non-linear loads which illustrate the current consumption of some domestic appliances supplied with single-phase sinusoidal voltage. These non-linear loads have been processed and tracked in order to limit their influence on the power grid and to reduce the Joule effect losses. As a result, the study has allowed to identify responsible circuits of harmonic pollution. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distortion%20rate" title="distortion rate">distortion rate</a>, <a href="https://publications.waset.org/abstracts/search?q=harmonic%20analysis" title=" harmonic analysis"> harmonic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=harmonic%20pollution" title=" harmonic pollution"> harmonic pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=non-linear%20load" title=" non-linear load"> non-linear load</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20factor" title=" power factor"> power factor</a> </p> <a href="https://publications.waset.org/abstracts/95198/harmonic-pollution-caused-by-non-linear-load-analysis-and-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95198.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7727</span> Groundwater Vulnerability of Halabja-Khurmal Sub-Basin</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lanja%20F.%20Rauf">Lanja F. Rauf</a>, <a href="https://publications.waset.org/abstracts/search?q=Salahalddin%20S.%20Ali"> Salahalddin S. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=Nadhir%20Al-Ansari"> Nadhir Al-Ansari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Evolving groundwater vulnerability from DRASTIC to modified DRASTIC methods helps choose the most accurate areas that are most delicate toward pollution. This study aims to modify DRASTIC with land use and water quality index for groundwater vulnerability assessment in the Halabja-Khurmal sub-basin, NE/Iraq. The Halabja- Khurmal sub-basin groundwater vulnerability index is calculated from nine hydrogeological parameters by the overlay weighting method. As a result, 1.3 % of the total area has a very high vulnerability value and 46.1 % with high vulnerability. The regions with high groundwater vulnerability have a high water table and groundwater recharge. Nitrate concentration was used to validate the result, and the Pearson correlation and recession analysis between the modified DRASTIC index and nitrate concentration depicted a strong relation with 0.76 and 0.7, respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=groundwater%20vulnerability" title="groundwater vulnerability">groundwater vulnerability</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20DRASTIC" title=" modified DRASTIC"> modified DRASTIC</a>, <a href="https://publications.waset.org/abstracts/search?q=land-use" title=" land-use"> land-use</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrate%20pollution" title=" nitrate pollution"> nitrate pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality%20index" title=" water quality index"> water quality index</a> </p> <a href="https://publications.waset.org/abstracts/154484/groundwater-vulnerability-of-halabja-khurmal-sub-basin" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154484.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">97</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7726</span> ECO ROADS: A Solution to the Vehicular Pollution on Roads</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Harshit%20Garg">Harshit Garg</a>, <a href="https://publications.waset.org/abstracts/search?q=Shakshi%20Gupta"> Shakshi Gupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the major problems in today’s world is the growing pollution. The cause for all environmental problems is the increasing pollution rate. Looking upon the statistics, one can find out that most of the pollution is caused by the vehicular pollution which is more than 70 % of the total pollution, effecting the environment as well as human health proportionally. One is aware of the fact that vehicles run on roads so why not having the roads which could adsorb that pollution, not only once but a number of times. Every problem has a solution which can be solved by the state of art of technology, that is one can use the innovative ideas and thoughts to make technology as a solution to the problem of vehicular pollution on roads. Solving the problem up to a certain limit/ percentage can be formulated into a new term called ECO ROADS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=environment" title="environment">environment</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=roads" title=" roads"> roads</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainibility" title=" sustainibility"> sustainibility</a> </p> <a href="https://publications.waset.org/abstracts/35026/eco-roads-a-solution-to-the-vehicular-pollution-on-roads" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35026.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">557</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7725</span> Gammarus: Asellus Ratio as an Index of Organic Pollution: A Case Study in Markeaton, Kedleston Hall, and Allestree Park Lakes Derby, UK</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Usman%20Bawa">Usman Bawa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Macro-invertebrates have been used to monitor organic pollution in rivers and streams. Several biotic indices based on macro-invertebrates have been developed over the years including the Biological Monitoring Working Party (BMWP). A new biotic index, the Gammarus:Asellus ratio has been recently proposed as an index of organic pollution. This study tested the validity of the Gammarus:Asellus ratio as an index of organic pollution, by examining the relationship between the Gammarus:Asellus ratio and physical-chemical parameters, and other biotic indices such as BMWP and, Average Score Per Taxon (ASPT) from lakes and streams at Markeaton Park, Allestree Park, and Kedleston Hall, Derbyshire. Macro invertebrates were sampled using the standard five-minute kick sampling techniques physical and chemical environmental variables were obtained based on standard sampling techniques. Eighteen sites were sampled, six sites from Markeaton Park (three sites across the stream and three sites across the lake). Six sites each were also sampled from Allestree Park and Kedleston Hall lakes. The Gammarus:Asellus ratio showed an opposite significant positive correlations with parameters indicative of organic pollution such as the level of nitrates, phosphates, and calcium and also revealed a negatively significant correlations with other biotic indices (BMWP/ASPT). The BMWP score correlated positively significantly with some water quality parameters such as dissolved oxygen and flow rate, but revealed no correlations with other chemical environmental variables. The BMWP score was significantly higher in the stream than the lake in Markeaton Park, also The ASPT scores appear to be significantly higher in the upper Lakes than the middle and lower lakes. This study has further strengthened the use of BMWP/ASPT score as an index of organic pollution. But, additional application is required to validate the use of Gammarus:Asellus as a rapid bio monitoring tool. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asellus" title="Asellus">Asellus</a>, <a href="https://publications.waset.org/abstracts/search?q=biotic%20index" title=" biotic index"> biotic index</a>, <a href="https://publications.waset.org/abstracts/search?q=Gammarus" title=" Gammarus"> Gammarus</a>, <a href="https://publications.waset.org/abstracts/search?q=macro%20invertebrates" title=" macro invertebrates"> macro invertebrates</a>, <a href="https://publications.waset.org/abstracts/search?q=organic%20pollution" title=" organic pollution"> organic pollution</a> </p> <a href="https://publications.waset.org/abstracts/22849/gammarus-asellus-ratio-as-an-index-of-organic-pollution-a-case-study-in-markeaton-kedleston-hall-and-allestree-park-lakes-derby-uk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22849.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7724</span> Comparison of Quality Indices for Sediment Assessment in Ireland</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tayyaba%20%20Bibi">Tayyaba Bibi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jenny%20%20Ronan"> Jenny Ronan</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20%20Hernan"> Robert Hernan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kathleen%20%20O%E2%80%99Rourke"> Kathleen O’Rourke</a>, <a href="https://publications.waset.org/abstracts/search?q=Brendan%20%20McHugh"> Brendan McHugh</a>, <a href="https://publications.waset.org/abstracts/search?q=Evin%20%20McGovern"> Evin McGovern</a>, <a href="https://publications.waset.org/abstracts/search?q=Michelle%20%20Giltrap"> Michelle Giltrap</a>, <a href="https://publications.waset.org/abstracts/search?q=Gordon%20Chambers"> Gordon Chambers</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Wilson"> James Wilson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sediment contamination is a major source of ecosystem stress and has received significant attention from the scientific community. Both the Water Framework Directive (WFD) and Marine Strategy Framework Directive (MSFD) require a robust set of tools for biological and chemical monitoring. For the MSFD in particular, causal links between contaminant and effects need to be assessed. Appropriate assessment tools are required in order to make an accurate evaluation. In this study, a range of recommended sediment bioassays and chemical measurements are assessed in a number of potentially impacted and lowly impacted locations around Ireland. Previously, assessment indices have been developed on individual compartments, i.e. contaminant levels or biomarker/bioassay responses. A number of assessment indices are applied to chemical and ecotoxicological data from the Seachange project (Project code) and compared including the metal pollution index (MPI), pollution load index (PLI) and Chapman index for chemistry as well as integrated biomarker response (IBR). The benefits and drawbacks of the use of indices and aggregation techniques are discussed. In addition to this, modelling of raw data is investigated to analyse links between contaminant and effects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bioassays" title="bioassays">bioassays</a>, <a href="https://publications.waset.org/abstracts/search?q=contamination%20indices" title=" contamination indices"> contamination indices</a>, <a href="https://publications.waset.org/abstracts/search?q=ecotoxicity" title=" ecotoxicity"> ecotoxicity</a>, <a href="https://publications.waset.org/abstracts/search?q=marine%20environment" title=" marine environment"> marine environment</a>, <a href="https://publications.waset.org/abstracts/search?q=sediments" title=" sediments"> sediments</a> </p> <a href="https://publications.waset.org/abstracts/84860/comparison-of-quality-indices-for-sediment-assessment-in-ireland" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84860.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7723</span> Quantification of Pollution Loads for the Rehabilitation of Pusu River</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20Al-Mamun">Abdullah Al-Mamun</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Nuruzzaman"> Md. Nuruzzaman</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Noor%20Salleh"> Md. Noor Salleh</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Abu%20Eusuf"> Muhammad Abu Eusuf</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Jalal%20Khan%20Chowdhury"> Ahmad Jalal Khan Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd.%20Zaki%20M.%20Amin"> Mohd. Zaki M. Amin</a>, <a href="https://publications.waset.org/abstracts/search?q=Norlida%20Mohd.%20Dom"> Norlida Mohd. Dom</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Identification of pollution sources and determination of pollution loads from all areas are very important for sustainable rehabilitation of any contaminated river. Pusu is a small river which, flows through the main campus of International Islamic University Malaysia (IIUM) at Gombak. Poor aesthetics of the river, which is flowing through the entrance of the campus, gives negative impression to the local and international visitors. As such, this study is being conducted to find ways to rehabilitate the river in a sustainable manner. The point and non-point pollution sources of the river basin are identified. Upper part of the 12.6 km2 river basin is covered with secondary forest. However, it is the lower-middle reaches of the river basin which is being cleared for residential development and source of high sediment load. Flow and concentrations of the common pollutants, important for a healthy river, such as Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solids (SS), Turbidity, pH, Ammoniacal Nitrogen (AN), Total Nitrogen (TN) and Total Phosphorus (TP) are determined. Annual pollution loading to the river was calculated based on the primary and secondary data. Concentrations of SS were high during the rainy day due to contribution from the non-point sources. There are 7 ponds along the river system within the campus, which are severely affected by high sediment load from the land clearing activities. On the other hand, concentrations of other pollutants were high during the non-rainy days. The main sources of point pollution are the hostels, cafeterias, sewage treatment plants located in the campus. Therefore, both pollution sources need to be controlled in order to rehabilitate the river in a sustainable manner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=river%20pollution" title="river pollution">river pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=rehabilitation" title=" rehabilitation"> rehabilitation</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20pollution%20source" title=" point pollution source"> point pollution source</a>, <a href="https://publications.waset.org/abstracts/search?q=non-point%20pollution%20sources" title=" non-point pollution sources"> non-point pollution sources</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20loading" title=" pollution loading"> pollution loading</a> </p> <a href="https://publications.waset.org/abstracts/44180/quantification-of-pollution-loads-for-the-rehabilitation-of-pusu-river" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44180.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">354</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7722</span> A Statistical Approach to Air Pollution in Mexico City and It's Impacts on Well-Being</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ana%20B.%20Carrera-Aguilar">Ana B. Carrera-Aguilar </a>, <a href="https://publications.waset.org/abstracts/search?q=Rodrigo%20T.%20Sepulveda-Hirose"> Rodrigo T. Sepulveda-Hirose</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20A.%20Bernal-Gurrusquieta"> Diego A. Bernal-Gurrusquieta</a>, <a href="https://publications.waset.org/abstracts/search?q=Francisco%20A.%20Ramirez%20Casas"> Francisco A. Ramirez Casas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, Mexico City has presented high levels of atmospheric pollution; the city is also an example of inequality and poverty that impact metropolitan areas around the world. This combination of social and economic exclusion, coupled with high levels of pollution evidence the loss of well-being among the population. The effect of air pollution on quality of life is an area of study that has been overlooked. The purpose of this study is to find relations between air quality and quality of life in Mexico City through statistical analysis of a regression model and principal component analysis of several atmospheric contaminants (CO, NO₂, ozone, particulate matter, SO₂) and well-being indexes (HDI, poverty, inequality, life expectancy and health care index). The data correspond to official information (INEGI, SEDEMA, and CEPAL) for 2000-2018. Preliminary results show that the Human Development Index (HDI) is affected by the impacts of pollution, and its indicators are reduced in the presence of contaminants. It is necessary to promote a strong interest in this issue in Mexico City. Otherwise, the problem will not only remain but will worsen affecting those who have less and the population well-being in a generalized way. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title="air quality">air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=Mexico%20City" title=" Mexico City"> Mexico City</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=statistics" title=" statistics"> statistics</a> </p> <a href="https://publications.waset.org/abstracts/109816/a-statistical-approach-to-air-pollution-in-mexico-city-and-its-impacts-on-well-being" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109816.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7721</span> Estimating Industrial Pollution Load in Phnom Penh by Industrial Pollution Projection System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vibol%20San">Vibol San</a>, <a href="https://publications.waset.org/abstracts/search?q=Vin%20Spoann"> Vin Spoann</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Manufacturing plays an important role in job creation around the world. In 2013, it is estimated that there were more than half a billion jobs in manufacturing. In Cambodia in 2015, the primary industry occupies 26.18% of the total economy, while agriculture is contributing 29% and the service sector 39.43%. The number of industrial factories, which are dominated by garment and textiles, has increased since 1994, mainly in Phnom Penh city. Approximately 56% out of total 1302 firms are operated in the Capital city in Cambodia. Industrialization to achieve the economic growth and social development is directly responsible for environmental degradation, threatening the ecosystem and human health issues. About 96% of total firms in Phnom Penh city are the most and moderately polluting firms, which have contributed to environmental concerns. Despite an increasing array of laws, strategies and action plans in Cambodia, the Ministry of Environment has encountered some constraints in conducting the monitoring work, including lack of human and financial resources, lack of research documents, the limited analytical knowledge, and lack of technical references. Therefore, the necessary information on industrial pollution to set strategies, priorities and action plans on environmental protection issues is absent in Cambodia. In the absence of this data, effective environmental protection cannot be implemented. The objective of this study is to estimate industrial pollution load by employing the Industrial Pollution Projection System (IPPS), a rapid environmental management tool for assessment of pollution load, to produce a scientific rational basis for preparing future policy direction to reduce industrial pollution in Phnom Penh city. Due to lack of industrial pollution data in Phnom Penh, industrial emissions to the air, water and land as well as the sum of emissions to all mediums (air, water, land) are estimated using employment economic variable in IPPS. Due to the high number of employees, the total environmental load generated in Phnom Penh city is estimated to be 476.980.93 tons in 2014, which is the highest industrial pollution compared to other locations in Cambodia. The result clearly indicates that Phnom Penh city is the highest emitter of all pollutants in comparison with environmental pollutants released by other provinces. The total emission of industrial pollutants in Phnom Penh shares 55.79% of total industrial pollution load in Cambodia. Phnom Penh city generates 189,121.68 ton of VOC, 165,410.58 ton of toxic chemicals to air, 38,523.33 ton of toxic chemicals to land and 28,967.86 ton of SO2 in 2014. The results of the estimation show that Textile and Apparel sector is the highest generators of toxic chemicals into land and air, and toxic metals into land, air and water, while Basic Metal sector is the highest contributor of toxic chemicals to water. Textile and Apparel sector alone emits 436,015.84 ton of total industrial pollution loads. The results suggest that reduction in industrial pollution could be achieved by focusing on the most polluting sectors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=most%20polluting%20area" title="most polluting area">most polluting area</a>, <a href="https://publications.waset.org/abstracts/search?q=polluting%20industry" title=" polluting industry"> polluting industry</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20load" title=" pollution load"> pollution load</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20intensity" title=" pollution intensity"> pollution intensity</a> </p> <a href="https://publications.waset.org/abstracts/68348/estimating-industrial-pollution-load-in-phnom-penh-by-industrial-pollution-projection-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">260</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7720</span> Urban Vegetative Planning for Ambient Ozone Pollution: An Eco-Management Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Anji%20Reddy">M. Anji Reddy</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Uma%20Devi"> R. Uma Devi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Environmental planning for urban development is very much needed to reduce air pollution through the enhancement of vegetative cover in the cities like Hyderabad. This can be mainly based on the selection of appropriate native plant species as bioindicators to assess the impact of ambient Ozone. In the present study, tolerant species are suggested aimed to reduce the magnitude of ambient ozone concentrations which not only increase eco-friendly vegetation but also moderate air pollution. Hyderabad city is divided into 5 zones based on Land Use/Land Cover category further each zone divided into residential, traffic, industrial, and peri-urban areas. Highest ambient ozone levels are recorded in Industrial areas followed by traffic areas in the entire study area ( > 180 µg/m3). Biomonitoring of selected sixteen local urban plant species with the help of Air Pollution Tolerance Index (APTI) showed its susceptibility to air pollution. Statistical regression models in between the tolerant plant species and ambient ozone levels suggested five plant species namely Azardirachta indica A. Juss which have a high tolerant response to ambient ozone followed by Delonix regia Hook. along with Millingtonia hortensis L.f., Alestonia Scholaries L., and Samania saman Jacq. in the industrial and traffic areas of the study area to mitigate ambient Ozone pollution and also to improve urban greenery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution%20tolerance%20index" title="air pollution tolerance index">air pollution tolerance index</a>, <a href="https://publications.waset.org/abstracts/search?q=bio-indicators" title=" bio-indicators"> bio-indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=eco-friendly%20vegetation" title=" eco-friendly vegetation"> eco-friendly vegetation</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20greenery" title=" urban greenery"> urban greenery</a> </p> <a href="https://publications.waset.org/abstracts/34265/urban-vegetative-planning-for-ambient-ozone-pollution-an-eco-management-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34265.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">454</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7719</span> Potential Ecological Risk Assessment of Selected Heavy Metals in Sediments of Tidal Flat Marsh, the Case Study: Shuangtai Estuary, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chang-Fa%20Liu">Chang-Fa Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Ting%20Wang"> Yi-Ting Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuan%20Liu"> Yuan Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hai-Feng%20Wei"> Hai-Feng Wei</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei%20Fang"> Lei Fang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin%20Li"> Jin Li</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Heavy metals in sediments can cause adverse ecological effects while it exceeds a given criteria. The present study investigated sediment environmental quality, pollutant enrichment, ecological risk, and source identification for copper, cadmium, lead, zinc, mercury, and arsenic in the sediments collected from tidal flat marsh of Shuangtai estuary, China. The arithmetic mean integrated pollution index, geometric mean integrated pollution index, fuzzy integrated pollution index, and principal component score were used to characterize sediment environmental quality; fuzzy similarity and geo-accumulation Index were used to evaluate pollutant enrichment; correlation matrix, principal component analysis, and cluster analysis were used to identify source of pollution; environmental risk index and potential ecological risk index were used to assess ecological risk. The environmental qualities of sediment are classified to very low degree of contamination or low contamination. The similar order to element background of soil in the Liaohe plain is region of Sanjiaozhou, Honghaitan, Sandaogou, Xiaohe by pollutant enrichment analysis. The source identification indicates that correlations are significantly among metals except between copper and cadmium. Cadmium, lead, zinc, mercury, and arsenic will be clustered in the same clustering as the first principal component. Copper will be clustered as second principal component. The environmental risk assessment level will be scaled to no risk in the studied area. The order of potential ecological risk is As > Cd > Hg > Cu > Pb > Zn. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecological%20risk%20assessment" title="ecological risk assessment">ecological risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=sediment" title=" sediment"> sediment</a>, <a href="https://publications.waset.org/abstracts/search?q=marsh" title=" marsh"> marsh</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuangtai%20estuary" title=" Shuangtai estuary"> Shuangtai estuary</a> </p> <a href="https://publications.waset.org/abstracts/48963/potential-ecological-risk-assessment-of-selected-heavy-metals-in-sediments-of-tidal-flat-marsh-the-case-study-shuangtai-estuary-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48963.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">347</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7718</span> Quantification of River Ravi Pollution and Oxidation Pond Treatment to Improve the Drain Water Quality</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yusra%20Mahfooz">Yusra Mahfooz</a>, <a href="https://publications.waset.org/abstracts/search?q=Saleha%20Mehmood"> Saleha Mehmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With increase in industrialization and urbanization, water contaminating rivers through effluents laden with diverse chemicals in developing countries. The study was based on the waste water quality of the four drains (Outfall, Gulshan -e- Ravi, Hudiara, and Babu Sabu) which enter into river Ravi in Lahore, Pakistan. Different pollution parameters were analyzed including pH, DO, BOD, COD, turbidity, EC, TSS, nitrates, phosphates, sulfates and fecal coliform. Approximately all the water parameters of drains were exceeded the permissible level of wastewater standards. In calculation of pollution load, Hudiara drains showed highest pollution load in terms of COD i.e. 429.86 tons/day while in Babu Sabu drain highest pollution load was calculated in terms of BOD i.e. 162.82 tons/day (due to industrial and sewage discharge in it). Lab scale treatment (oxidation ponds) was designed in order to treat the waste water of Babu Sabu drain, through combination of different algae species i.e. chaetomorphasutoria, sirogoniumsticticum and zygnema sp. Two different sizes of ponds (horizontal and vertical), and three different concentration of algal samples (25g/3L, 50g/3L, and 75g/3L) were selected. After 6 days of treatment, 80 to 97% removal efficiency was found in the pollution parameters. It was observed that in the vertical pond, maximum reduction achieved i.e. turbidity 62.12%, EC 79.3%, BOD 86.6%, COD 79.72%, FC 100%, nitrates 89.6%, sulphates 96.9% and phosphates 85.3%. While in the horizontal pond, the maximum reduction in pollutant parameters, turbidity 69.79%, EC 83%, BOD 88.5%, COD 83.01%, FC 100%, nitrates 89.8%, sulphates 97% and phosphates 86.3% was observed. Overall treatment showed that maximum reduction was carried out in 50g algae setup in the horizontal pond due to large surface area, after 6 days of treatment. Results concluded that algae-based treatment are most energy efficient, which can improve drains water quality in cost effective manners. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=oxidation%20pond" title="oxidation pond">oxidation pond</a>, <a href="https://publications.waset.org/abstracts/search?q=ravi%20pollution" title=" ravi pollution"> ravi pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=river%20water%20quality" title=" river water quality"> river water quality</a>, <a href="https://publications.waset.org/abstracts/search?q=wastewater%20treatment" title=" wastewater treatment"> wastewater treatment</a> </p> <a href="https://publications.waset.org/abstracts/61616/quantification-of-river-ravi-pollution-and-oxidation-pond-treatment-to-improve-the-drain-water-quality" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61616.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">298</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7717</span> Spatial Variability of Heavy Metals in Sediments of Two Streams of the Olifants River System, South Africa</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abraham%20Addo-Bediako">Abraham Addo-Bediako</a>, <a href="https://publications.waset.org/abstracts/search?q=Sophy%20Nukeri"> Sophy Nukeri</a>, <a href="https://publications.waset.org/abstracts/search?q=Tebatso%20Mmako"> Tebatso Mmako</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many freshwater ecosystems have been subjected to prolonged and cumulative pollution as a result of human activities such as mining, agricultural, industrial and human settlements in their catchments. The objective of this study was to investigate spatial variability of heavy metal pollution of sediments and possible sources of pollutants in two streams of the Olifants River System, South Africa. Stream sediments were collected and analysed for Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Lead (Pb), Nickel (Ni) and Zinc (Zn) concentrations using inductively coupled plasma-mass mass spectrometry (ICP-MS). In both rivers, As, Cd, Cu, Pb and Zn fell within the concentration ranges recommended by CCME and ANZECC, while the concentrations of Cr and Ni exceeded the standards; the results indicated that Cr and Ni in the sediments originated from human activities and not from natural geological background. The index of geo-accumulation (Igeo) was used to assess the degree of pollution. The results of the geo-accumulation index evaluation showed that Cr and Ni were present in the sediments of the rivers at moderately to extremely polluted levels, while As, Cd, Cu, Pb and Zn existed at unpolluted to moderately polluted levels. Generally, heavy metal concentrations increased along the gradient in the rivers. The high concentrations of Cr and Ni in both rivers are of great concern, as previously these two rivers were classified to be supplying the Olifants River with water of good quality. There is a critical need, therefore to monitor heavy metal concentrations and distributions, as well as a comprehensive plan to prevent health risks, especially those communities still reliant on untreated water from the rivers, as sediment pollution may pose a risk of secondary water pollution under sediment disturbance and/or changes in the geo-chemistry of sediments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geo-accumulation%20index" title="geo-accumulation index">geo-accumulation index</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=sediment%20pollution" title=" sediment pollution"> sediment pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a> </p> <a href="https://publications.waset.org/abstracts/117190/spatial-variability-of-heavy-metals-in-sediments-of-two-streams-of-the-olifants-river-system-south-africa" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/117190.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7716</span> Flexural Toughness of Fiber Reinforced Reactive Powder Concrete (RPC)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Yousefi%20Oderji">S. Yousefi Oderji</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Chen"> B. Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> According to the ASTM C1018 toughness index method, the single and combined toughness effects of copper coated steel fiber and polypropylene (pp) fiber on reactive powder concrete (RPC) were investigated. Through flexural toughness test of RPC with different fiber volume dosages, the corresponding load-deflection curves were also drawn. Test results indicate that the binary combination of fibers provide the best flexural toughness, and improve the post-peak load-deflection characteristics of RPC. However, the single effect of pp fibers was not pronounced on improving the flexural toughness of RPC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=RPC" title="RPC">RPC</a>, <a href="https://publications.waset.org/abstracts/search?q=PP" title=" PP"> PP</a>, <a href="https://publications.waset.org/abstracts/search?q=flexural%20toughness" title=" flexural toughness"> flexural toughness</a>, <a href="https://publications.waset.org/abstracts/search?q=toughness%20index" title=" toughness index"> toughness index</a> </p> <a href="https://publications.waset.org/abstracts/41865/flexural-toughness-of-fiber-reinforced-reactive-powder-concrete-rpc" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">337</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7715</span> Heavy Metal Pollution in Soils of Yelagirihills,Tamilnadu by EDXRF Technique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chandrasekaran">Chandrasekaran</a>, <a href="https://publications.waset.org/abstracts/search?q=Ravisankar%20N.%20Harikrishnan"> Ravisankar N. Harikrishnan</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajalakshmi"> Rajalakshmi</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20K.%20Satapathy%20M.%20V.%20R.%20Prasad"> K. K. Satapathy M. V. R. Prasad</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20V.%20Kanagasabapathy"> K. V. Kanagasabapathy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Heavy metals were considered as highly toxic environmental pollutants to soil ecosystem and human health. In present study the 12 heavy metals (Mg, Al, K, Ca, Ti, Fe, V, Cr, Mn, Co,Ni and Zn.) are determined in soils of Yelagiri hills, Tamilnadu by energy dispersive X-ray fluorescence technique. Metal concentrations were used to quantify pollution contamination factors such as enrichment factor (EF), geo-accumulation index (Igeo) and contamination factor (CF) are calculated and reported. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=soil" title="soil">soil</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metals" title=" heavy metals"> heavy metals</a>, <a href="https://publications.waset.org/abstracts/search?q=EDXRF" title=" EDXRF"> EDXRF</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution%20contamination%20factors" title=" pollution contamination factors"> pollution contamination factors</a> </p> <a href="https://publications.waset.org/abstracts/24169/heavy-metal-pollution-in-soils-of-yelagirihillstamilnadu-by-edxrf-technique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24169.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7714</span> Thermomechanical Coupled Analysis of Fiber Reinforced Polymer Composite Square Tube: A Finite Element Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Ali">M. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Alam"> K. Alam</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Ohioma"> E. Ohioma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a numerical investigation on the behavior of fiber reinforced polymer composite tubes (FRP) under thermomechanical coupled loading using finite element software ABAQUS and a special add-on subroutine, CZone. Three cases were explored; pure mechanical loading, pure thermal loading, and coupled thermomechanical loading. The failure index (Tsai-Wu) under all three loading cases was assessed for all plies in the tube walls. The simulation results under pure mechanical loading showed that composite tube failed at a tensile load of 3.1 kN. However, with the superposition of thermal load on mechanical load on the composite tube, the failure index of the previously failed plies in tube walls reduced significantly causing the tube to fail at 6 kN. This showed 93% improvement in the load carrying capacity of the composite tube in present study. The increase in load carrying capacity was attributed to the stress effects of the coefficients of thermal expansion (CTE) on the laminate as well as the inter-lamina stresses induced due to the composite stack layup. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=thermal" title="thermal">thermal</a>, <a href="https://publications.waset.org/abstracts/search?q=mechanical" title=" mechanical"> mechanical</a>, <a href="https://publications.waset.org/abstracts/search?q=composites" title=" composites"> composites</a>, <a href="https://publications.waset.org/abstracts/search?q=square%20tubes" title=" square tubes"> square tubes</a> </p> <a href="https://publications.waset.org/abstracts/43322/thermomechanical-coupled-analysis-of-fiber-reinforced-polymer-composite-square-tube-a-finite-element-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43322.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">386</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7713</span> Value Index, a Novel Decision Making Approach for Waste Load Allocation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=E.%20Feizi%20Ashtiani">E. Feizi Ashtiani</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Jamshidi"> S. Jamshidi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.H%20Niksokhan"> M.H Niksokhan</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Feizi%20Ashtiani"> A. Feizi Ashtiani </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Waste load allocation (WLA) policies may use multi-objective optimization methods to find the most appropriate and sustainable solutions. These usually intend to simultaneously minimize two criteria, total abatement costs (TC) and environmental violations (EV). If other criteria, such as inequity, need for minimization as well, it requires introducing more binary optimizations through different scenarios. In order to reduce the calculation steps, this study presents value index as an innovative decision making approach. Since the value index contains both the environmental violation and treatment costs, it can be maximized simultaneously with the equity index. It implies that the definition of different scenarios for environmental violations is no longer required. Furthermore, the solution is not necessarily the point with minimized total costs or environmental violations. This idea is testified for Haraz River, in north of Iran. Here, the dissolved oxygen (DO) level of river is simulated by Streeter-Phelps equation in MATLAB software. The WLA is determined for fish farms using multi-objective particle swarm optimization (MOPSO) in two scenarios. At first, the trade-off curves of TC-EV and TC-Inequity are plotted separately as the conventional approach. In the second, the Value-Equity curve is derived. The comparative results show that the solutions are in a similar range of inequity with lower total costs. This is due to the freedom of environmental violation attained in value index. As a result, the conventional approach can well be replaced by the value index particularly for problems optimizing these objectives. This reduces the process to achieve the best solutions and may find better classification for scenario definition. It is also concluded that decision makers are better to focus on value index and weighting its contents to find the most sustainable alternatives based on their requirements. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=waste%20load%20allocation%20%28WLA%29" title="waste load allocation (WLA)">waste load allocation (WLA)</a>, <a href="https://publications.waset.org/abstracts/search?q=value%20index" title=" value index"> value index</a>, <a href="https://publications.waset.org/abstracts/search?q=multi%20objective%20particle%20swarm%20optimization%20%28MOPSO%29" title=" multi objective particle swarm optimization (MOPSO)"> multi objective particle swarm optimization (MOPSO)</a>, <a href="https://publications.waset.org/abstracts/search?q=Haraz%20River" title=" Haraz River"> Haraz River</a>, <a href="https://publications.waset.org/abstracts/search?q=equity" title=" equity"> equity</a> </p> <a href="https://publications.waset.org/abstracts/22688/value-index-a-novel-decision-making-approach-for-waste-load-allocation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22688.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7712</span> Application of Artificial Neural Network and Background Subtraction for Determining Body Mass Index (BMI) in Android Devices Using Bluetooth</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neil%20Erick%20Q.%20Madariaga">Neil Erick Q. Madariaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Noel%20B.%20Linsangan"> Noel B. Linsangan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Body Mass Index (BMI) is one of the different ways to monitor the health of a person. It is based on the height and weight of the person. This study aims to compute for the BMI using an Android tablet by obtaining the height of the person by using a camera and measuring the weight of the person by using a weighing scale or load cell. The height of the person was estimated by applying background subtraction to the image captured and applying different processes such as getting the vanishing point and applying Artificial Neural Network. The weight was measured by using Wheatstone bridge load cell configuration and sending the value to the computer by using Gizduino microcontroller and Bluetooth technology after the amplification using AD620 instrumentation amplifier. The application will process the images and read the measured values and show the BMI of the person. The study met all the objectives needed and further studies will be needed to improve the design project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title="body mass index">body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=vanishing%20point" title=" vanishing point"> vanishing point</a>, <a href="https://publications.waset.org/abstracts/search?q=bluetooth" title=" bluetooth"> bluetooth</a>, <a href="https://publications.waset.org/abstracts/search?q=wheatstone%20bridge%20load%20cell" title=" wheatstone bridge load cell"> wheatstone bridge load cell</a> </p> <a href="https://publications.waset.org/abstracts/20342/application-of-artificial-neural-network-and-background-subtraction-for-determining-body-mass-index-bmi-in-android-devices-using-bluetooth" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20342.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">324</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7711</span> Spatial Analysis for Wind Risk Index Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ljiljana%20Seric">Ljiljana Seric</a>, <a href="https://publications.waset.org/abstracts/search?q=Vladimir%20Divic"> Vladimir Divic</a>, <a href="https://publications.waset.org/abstracts/search?q=Marin%20Bugaric"> Marin Bugaric</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents methodology for spatial analysis of GIS data that is used for assessing the microlocation risk index from potential damages of high winds. The analysis is performed on freely available GIS data comprising information about wind load, terrain cover and topography of the area. The methodology utilizes the legislation of Eurocode norms for determination of wind load of buildings and constructions. The core of the methodology is adoption of the wind load parameters related to location on geographical spatial grid. Presented work is a part of the Wind Risk Project, supported by the European Commission under the Civil Protection Financial Instrument of the European Union (ECHO). The partners involved in Wind Risk project performed Wind Risk assessment and proposed action plan for three European countries – Slovenia, Croatia and Germany. The proposed method is implemented in GRASS GIS open source GIS software and demonstrated for Case study area of wider area of Split, Croatia. Obtained Wind Risk Index is visualized and correlated with critical infrastructures like buildings, roads and power lines. The results show good correlation between high Wind Risk Index with recent incidents related to wind. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eurocode%20norms" title="Eurocode norms">Eurocode norms</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20analysis" title=" spatial analysis"> spatial analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20distribution" title=" wind distribution"> wind distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20risk" title=" wind risk"> wind risk</a> </p> <a href="https://publications.waset.org/abstracts/84746/spatial-analysis-for-wind-risk-index-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84746.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">316</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7710</span> An Investigation of Surface Water Quality in an Industrial Area Using Integrated Approaches</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Priti%20Saha">Priti Saha</a>, <a href="https://publications.waset.org/abstracts/search?q=Biswajit%20Paul"> Biswajit Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rapid urbanization and industrialization has increased the pollution load in surface water bodies. However, these water bodies are major source of water for drinking, irrigation, industrial activities and fishery. Therefore, water quality assessment is paramount importance to evaluate its suitability for all these purposes. This study focus to evaluate the surface water quality of an industrial city in eastern India through integrating interdisciplinary techniques. The multi-purpose Water Quality Index (WQI) assess the suitability for drinking, irrigation as well as fishery of forty-eight sampling locations, where 8.33% have excellent water quality (WQI:0-25) for fishery and 10.42%, 20.83% and 45.83% have good quality (WQI:25-50), which represents its suitability for drinking irrigation and fishery respectively. However, the industrial water quality was assessed through Ryznar Stability Index (LSI), which affirmed that only 6.25% of sampling locations have neither corrosive nor scale forming properties (RSI: 6.2-6.8). Integration of these statistical analysis with geographical information system (GIS) helps in spatial assessment. It identifies of the regions where the water quality is suitable for its use in drinking, irrigation, fishery as well as industrial activities. This research demonstrates the effectiveness of statistical and GIS techniques for water quality assessment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surface%20water" title="surface water">surface water</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality%20assessment" title=" water quality assessment"> water quality assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality%20index" title=" water quality index"> water quality index</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20assessment" title=" spatial assessment"> spatial assessment</a> </p> <a href="https://publications.waset.org/abstracts/103597/an-investigation-of-surface-water-quality-in-an-industrial-area-using-integrated-approaches" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103597.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7709</span> A Study on FWD Deflection Bowl Parameters for Condition Assessment of Flexible Pavement</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ujjval%20J.%20Solanki">Ujjval J. Solanki</a>, <a href="https://publications.waset.org/abstracts/search?q=Prof.%28Dr.%29%20P.J.%20Gundaliya">Prof.(Dr.) P.J. Gundaliya</a>, <a href="https://publications.waset.org/abstracts/search?q=Prof.M.D.%20Barasara"> Prof.M.D. Barasara</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The application of Falling Weight Deflectometer is to evaluate structural performance of the flexible pavement. The exercise of back calculation is required to know the modulus of elasticity of existing in-service pavement. The process of back calculation needs in-depth field experience for the input of range of modulus of elasticity of bituminous, granular and subgrade layer, and its required number of trial to find such matching moduli with the observed FWD deflection on the field. The study carried out at Barnala-Mansa State Highway Punjab-India using FWD before and after overlay; the deflections obtained at 0 on the load cell, 300, 600, 900,1200, 1500 and 1800 mm interval from the load cell these seven deflection results used to calculate Surface Curvature Index (SCI), Base damage Index (BDI), Base curvature index (BCI). This SCI, BCI and BDI indices are useful to predict the structural performance of in-service pavement and also useful to identify homogeneous section for condition assessment. The SCI, BCI and BDI range are determined for before and after overlay the range of SCI 520 to 51 BDI 294 to 63 BCI 83 to 0.27 for old pavement and SCI 272 to 23 BDI 228 to 28, BCI 25.85 to 4.60 for new pavement. It also shows good correlation with back calculated modulus of elasticity of all the three layer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=back%20calculation" title="back calculation">back calculation</a>, <a href="https://publications.waset.org/abstracts/search?q=base%20damage%20index" title=" base damage index"> base damage index</a>, <a href="https://publications.waset.org/abstracts/search?q=base%20curvature%20index" title=" base curvature index"> base curvature index</a>, <a href="https://publications.waset.org/abstracts/search?q=FWD%20%28Falling%20Weight%20Deflectometer%29" title=" FWD (Falling Weight Deflectometer)"> FWD (Falling Weight Deflectometer)</a>, <a href="https://publications.waset.org/abstracts/search?q=surface%20curvature%20index" title=" surface curvature index"> surface curvature index</a> </p> <a href="https://publications.waset.org/abstracts/45963/a-study-on-fwd-deflection-bowl-parameters-for-condition-assessment-of-flexible-pavement" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45963.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">332</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=pollution%20load%20index&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=pollution%20load%20index&page=3">3</a></li> <li class="page-item"><a class="page-link" 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